Methods and apparatuses for leakage light suppression

ABSTRACT

Aspects of the present disclosure include methods and systems for modulating light sources including applying an optical beam, modulating one or more of an amplitude, a phase, or a frequency of the optical beam via an acousto-optic modulator (AOM), applying a sideband signal to a channel of an electro-optic modulator (EOM) to transform the optical beam to a carrier beam and at least two sideband beams, and providing one of the at least two sideband beams to one or more dual-space, single-species (DSSS) trapped ions of the QIP system to transition the one or more DSSS trapped ions from a first state to a second state.

CROSS REFERENCE TO RELATED APPLICATIONS

This application claims priority to, and the benefit of, U.S. Patent Provisional Application No. 63/222,765, filed Jul. 16, 2021, the entire contents of which are hereby incorporated by reference.

TECHNICAL FIELD

Aspects of the present disclosure relate generally to quantum information processing (QIP) architectures, and more particularly, to dual-space, single-species architecture for trapped-ion QIP.

BACKGROUND

Trapped atoms are one of the leading implementations for quantum information processing or quantum computing. Atomic-based qubits can be used as quantum memories, as quantum gates in quantum computers and simulators, and can act as nodes for quantum communication networks. Qubits based on trapped atomic ions enjoy a rare combination of attributes. For example, qubits based on trapped atomic ions have very good coherence properties, can be prepared and measured with nearly 100% efficiency, and are readily entangled with each other by modulating their Coulomb interaction with suitable external control fields such as optical or microwave fields. These attributes make atomic-based qubits attractive for extended quantum operations such as quantum computations or quantum simulations.

It is therefore important to have architectures that take advantage of atomic-based qubits, including architectures that support different types of trapped-ion techniques.

SUMMARY

The following presents a simplified summary of one or more aspects to provide a basic understanding of such aspects. This summary is not an extensive overview of all contemplated aspects and is intended to neither identify key or critical elements of all aspects nor delineate the scope of any or all aspects. Its sole purpose is to present some concepts of one or more aspects in a simplified form as a prelude to the more detailed description that is presented later.

The dual-space, single-species architecture for trapped-ion for quantum information processing described herein is flexible and has several advantages over architectures that rely on dual species. For example, a single chain of ions is reconfigurable as needed without physical shuttling. Also, sympathetic cooling can be perfectly mass-matched. The exemplary aspect does not require narrow line cooling, which itself may be a risk, and may not get as cold as (electromagnetically-induced-transparency) EIT cooling. This exemplary aspect also enables mid-algorithm readout and remote entanglement generation (REG) on dipole-allowed (broad) transitions for high speed. Moreover, no mixed-species two-qubit (2q) gate is needed for remote entanglement (RE) distribution.

The use of a global 1762-nm optical beam for dual-space, single-species architectures is already considered for shelving during readout. Only the short-wavelength Raman beam need be focused tightly for addressing. But for the approach using g-type gates (ground qubit gates), another independent tone may be needed 10 GHz away. This may be accomplished with an electro-optic modulator (EOM) and/or a second laser and a high frequency acousto-optic modulator (AOM). AC Stark shifts of the m-type (metastable qubit), including from the ion trap RF, needs to be considered/managed. The global 1762 optical beam would also allow for integrated photonics down the road.

The dual-space, single-species architecture described herein can also support m-type Raman operations, which can produce higher-fidelity and more efficient gates. Such an approach only needs the 1762 tones spaced by 80 MHz (not 10 GHz) with local m-type and g-type Raman. Additionally, exemplary aspects of the present disclosure includes using a continuous wave (CW) Raman system. An advantage includes that, since EIT cooling occurs in the g state, performing circuits in the m state may obviate the need to shuttle the qubits and the ancillae back and forth between the g state and the m state during computation.

Aspects of the present disclosure include methods and systems for modulating light sources including applying an optical beam, modulating one or more of an amplitude, a phase, or a frequency of the optical beam via an acousto-optic modulator (AOM), applying a sideband signal to a channel of an electro-optic modulator (EOM) to transform the optical beam to a carrier beam and at least two sideband beams, and providing one of the at least two sideband beams to one or more dual-space, single-species (DSSS) trapped ions of the QIP system to transition the one or more DSSS trapped ions from a first state to a second state.

To the accomplishment of the foregoing and related ends, the one or more aspects comprise the features hereinafter fully described and particularly pointed out in the claims. The following description and the annexed drawings set forth in detail certain illustrative features of the one or more aspects. These features are indicative, however, of but a few of the various ways in which the principles of various aspects may be employed, and this description is intended to include all such aspects and their equivalents.

BRIEF DESCRIPTION OF THE DRAWINGS

The disclosed aspects will hereinafter be described in conjunction with the appended drawings, provided to illustrate and not to limit the disclosed aspects, wherein like designations denote like elements, and in which:

FIG. 1 illustrates an example of a dual-space, single species implementation in 133 Ba+ in connection with aspects of this disclosure.

FIG. 2 illustrates a first class of features related to qubits plus coolant/calibration ions in connection with aspects of this disclosure.

FIG. 3 illustrates a second class of features related to qubits plus ancillas plus coolant ions in connection with aspects of this disclosure.

FIG. 4 illustrates an example of sympathetic cooling/calibration in connection with aspects of this disclosure.

FIG. 5 illustrates an example of an alternative sympathetic cooling/calibration in connection with aspects of this disclosure.

FIG. 6 illustrates an example of an ancilla readout in connection with aspects of this disclosure.

FIG. 7 illustrates an example of mid-algorithm calibration via ancilla readout in connection with aspects of this disclosure.

FIGS. 8 and 9 illustrate an example of a REG and distribution via ancilla in connection with aspects of this disclosure.

FIG. 10 illustrates an example of m-type Raman gates in connection with aspects of this disclosure.

FIG. 11 illustrates a first class of features with m-type Raman related to qubits plus coolant/calibration ions in connection with aspects of this disclosure.

FIG. 12 illustrates a second class of features with m-type Raman related to qubits plus ancillas plus coolant ions in connection with aspects of this disclosure.

FIG. 13 illustrates a laser scheme for high-fidelity dual-space operation in connection with aspects of this disclosure.

FIG. 14 illustrates an example of a scheme for transitioning an ion from a first state to a second state according to aspects of the present disclosure.

FIG. 15 illustrates an example of a scheme for reducing leakage light by driving an EOM in series with an AOM according to aspects of the present disclosure.

FIG. 16 illustrates an example of an illumination system according to aspects of the present disclosure.

FIG. 17 illustrates an example of a quantum information processing (QIP) system in which a dual-space, single species architecture can be implemented according to aspects of the present disclosure.

FIG. 18 illustrates an example of a computer device in which a dual-space, single species architecture can be implemented for quantum information processing according to aspects of the present disclosure.

FIG. 19 illustrates an example of a method for reducing leakage light according to aspects of the present disclosure.

DETAILED DESCRIPTION

The detailed description set forth below in connection with the appended drawings is intended as a description of various configurations and is not intended to represent the only configurations in which the concepts described herein may be practiced. The detailed description includes specific details for the purpose of providing a thorough understanding of various concepts. However, it will be apparent to those skilled in the art that these concepts may be practiced without these specific details. In some instances, well known components are shown in block diagram form in order to avoid obscuring such concepts.

In general, dual-species trapped-ion quantum computing is considered advantageous for practical, high-fidelity systems. This approach can be used to mitigate decoherence of data and syndrome qubits during sympathetic cooling in the middle of long algorithms and/or after ion transport, mid-algorithm qubit readout of a subset of the quantum processor, mid-algorithm remote entanglement generation (REG), and mid-algorithm calibration. This approach relies on having different species with very different transition frequencies. These differences need to be large compared with transition linewidths and transition rates.

But the use of dual-species in trapped-ion quantum computing can have some challenges. For example, more lasers and optical beams are needed, chain (e.g., linear arrangement of ions) order matters both for ion addressability and mode structure, and more complicated loading, and unintended chain reordering may cause some issues. Moreover, sympathetic cooling in mixed species chains (especially radial modes) can be inefficient, while shuttling and split/merge operations in mixed species chains is challenging due to different pseudopotentials seen by ions of different mass. Mixed-species two-qubit (2q) gates (needed for REG distribution) can have lower fidelity.

The Dual-Space Concept

The dual-space concept is described in connection with FIG. 1 . For this approach, there is the use of two Hilbert spaces in one ion species to gain dual-species functionality. These spaces are naturally decoupled but can be coupled through application of optical fields. Spaces either consist of ground state or metastable state.

This approach is sometimes referred to as the “omg” or “OMG” concept because it involves an optical qubit (i.e., o-type, shown as a circle with vertical lines in FIG. 1 ) for high-fi measurement, a metastable qubit (i.e., m-type, shown as a circle with dots in FIG. 1 ) for protected memory with low-field clock states, T1˜30s, and a ground qubit (i.e., g-type, shown as a circle with horizontal lines in FIG. 1 ) for processing, cooling, and remote entanglement generation. This approach involves arrow quadrupole transitions for changing types: “Hilbert space shuttling” (HSS).

Sympathetic Cooling

In a trapped-ion quantum computer, the collective motional modes of a chain of ions must be cooled to enable high-fidelity manipulation of the atomic qubits. However, during a calculation, electric field noise leads to heating of these motional modes, which can degrade the system's performance over the course of the calculation. Additionally, to perform a calculation that involves ions in multiple chains, the chains must be shuttled spatially during the calculation, which can also lead to heating of the motional modes. Sympathetic cooling is typically used to cool these motional modes during a calculation. This involves performing the calculation using one set of “qubit” ions while simultaneously performing laser-cooling operations on a separate set of “coolant” ions, which has the effect of cooling the collective motional modes of the entire chain. This has been demonstrated by using two separate elements (e.g., Yb and Ba) or two isotopes of the same element (e.g., Yb-171 and Yb-172) for the qubit and coolant ions.

However, one problem is that the coupling of individual ions to the collective motional modes depends on those ions' masses, and so ions that have different masses—as different elements or isotopes do-couple differently to the motional modes, degrading the effectiveness of the sympathetic cooling scheme. Further, the presence of ions with different masses complicates the design of quantum gates, which are highly sensitive to properties of the collective motional modes. A second significant technical problem is that collision with background gas molecules can cause the ions in the chain to reorder, scrambling the qubit and coolant ions and forcing the slow and costly operation of either re-ordering or rebuilding the chain. A third problem, for chains composed of two isotopes of the same element, is that the frequencies of the optical transitions involved in cooling the coolant ions are typically close to those of the qubit ions, and so light that is emitted by the coolant ions can be absorbed by the qubit ions, degrading the calculation.

There are some of the advantages to the approach described herein in connection with sympathetic cooling. Because the qubit and coolant ions are identical, the problems related to different masses and chain reordering are eliminated. Further, because all ions in the chain are identical until they are assigned to be either qubit or coolant ions, the assignment can be determined dynamically for each calculation to optimize the number and positions of coolant ions without reloading a new chain.

High-Fidelity Readout

At the end of a computation the states of all qubit ions must be read out optically. Generally, this is done by applying a global detection laser, which will cause ions that are in the “bright” state to fluoresce but not ions that are in the “dark” state. Because the bright and dark states for a hyperfine qubit are generally part of the same manifold (i.e., the S_(1/2) states in ¹³³Ba⁺ or ¹⁷¹Yb), the transition(s) addressed by the detection laser must be chosen carefully to avoid exciting the ion out of the dark state, thereby leading to erroneous fluorescence, and also to avoid pumping the ion from the bright state to the dark state, thereby leading to an erroneous lack of fluorescence. Often, the rates at which these errors occur are set by the intrinsic atomic properties of the ion, placing a fundamental limit on the fidelity with which the ion's state can be read out.

There are various advantages to the approach described herein in connection with the read out. For example, these errors can be avoided by transferring one of the qubit states into a separate manifold (i.e., the D_(5/2) states in ¹³³Ba⁺, a process known as shelving. The ion can then be illuminated in such a way so that all states in the original manifold fluoresce. Because the two manifolds are decoupled, the rate at which the dark state (the state that has been shelved) can be caused to erroneously fluoresce and the rate at which the bright state (the state that has not been shelved) can erroneously stop fluorescing are extremely small. As a result, the readout fidelity can be made to be extremely high.

Mid-Circuit Calibration

The fidelity of a quantum computation is extremely sensitive to a wide variety of experimental factors, such as optical beam alignment, laser intensity at the ions, the strength of the confining potential that traps the ions, the presence of stray electric fields, and many others. These factors are likely to drift or change over time, so calibrations need to be performed to account for this drift.

Because these calibrations require reading the states of the ions to extract information about these factors, they are typically performed between computations, during which it is forbidden to read the states of the qubit ions involved in the computation. However, this limits the speed at which these calibrations can be performed, limiting the bandwidth of the calibration feedback.

Alternatively, calibrations can be performed during the computation using ancilla ions that are not involved in the computation itself. However, because these calibration routines collect fluorescence from the ancilla ions to read out their states, it has formerly been required to use either a different atomic element or different isotope for the ancilla ions so that this fluorescence does not disturb the states of the qubit ions that are involved in the computation. Consequently, various properties of the ancilla ions may be different from those of the qubit ions, which causes them to be influenced by these experimental factors in subtly different ways and may limit the predictive value of ancilla-based calibrations.

There are various advantages to the approach described herein in connection with mid-circuit calibration. For example, the ancilla and qubit ions are identical, and the calibration routines are performed by precisely the same techniques that are used to run the computation. Therefore, the calibration results do not need to be adjusted to account for physical differences between the calibration routines run on the ancilla ions and the computation run on the qubit ions.

Mid-Circuit Partial Readout

Many quantum algorithms or circuits involve measuring a fraction of the qubits mid-circuit while requiring that the unmeasured fraction remain coherent. Such mid-circuit measurement can be a critical component of quantum error correction (QEC). In QEC, ancilla qubits, which are entangled with data qubits, are measured to herald and identify errors in the data qubits. The error in the data qubits can then be corrected by subsequent quantum operations, but this only works if the quantum information in the data qubits is not destroyed during the measurement of the ancillas. This presents a challenge for single-species trapped-ion-qubit systems because measurement of ancillas typically requires the scattering of many photons from a readout laser, and these photons can be reabsorbed by nearby data ions causing their quantum information to be lost. One standard approach to solve this problem is to move the ancilla ions far away from the data ions after they are entangled with them, but before (and during) measurement. However, this dynamic, mid-circuit reconfiguration of ion-qubit positions can be impractical or undesirable in many situations. The use of dual-species trapped-ion systems, where ancillas and data ions are different species, also mitigates this problem and allows ions to stay close to one another. However, the disadvantages of dual species operation have already been elucidated earlier. In this mid-circuit partial readout protocol for QEC, dual-species entangling (two-qubit) gates may be required, which may typically have a fidelity that is not as good as that of single-species entangling gates.

There are various advantages to the approach described herein in connection with mid-circuit partial readout. For example, data qubits can be stored in the m-type space while ancillas are measured. This protects the quantum information in the data qubits from absorption of photons emitted from nearby ancilla qubits. As a result, there is no decoherence from this measurement process and mid-circuit partial readout of the ion register can be performed without any constraints on the distance between data and ancilla ion qubits. Furthermore, only a single species ion is used, so entangling gates between data and ancilla ions will typically be of higher fidelity.

Mid-Circuit Remote Entanglement Generation

Ion-based quantum computers will need to scale to numbers of qubits that are larger than can be worked with in a single trap. A technique called “remote entanglement generation” (REG) may be required to enable communication between the registers of ions held in separate traps. A common method of remote entanglement generation involves combining single photons emitted by “ancilla” ions in separate traps onto a beamsplitter and measuring the output of that beamsplitter. During the process of REG, ancilla ions are typically kept in the g-type space and emit many photons, only a small fraction of which can be typically collected and used in the beamsplitter interference protocol mentioned above. The remainder of these photons are scattered in all directions and can be reabsorbed by neighboring quantum data ions that are also in the g-type space. If these neighboring data ions have quantum information in them (as would be the case for REG attempted in the middle of a quantum algorithm as might often be desirable), this information will be lost. If all ions are in the g-type space (which is the standard approach), REG cannot be carried out without suffering decoherence or without keeping the ancilla ions very far away from the data ions (the latter of which is not practical or desirable in many situations). The use of dual-species trapped-ion systems, where ancillas and data ions are different species, also mitigates this problem and allows ions to stay close to one another. However, the disadvantages of dual-species operation have already been elucidated earlier. In mid-circuit REG using dual-species, entangling (two-qubit) gates would be required to distribute the quantum information around the quantum register, and such dual-species gates typically have worse fidelity than single-species entangling gates.

There are various advantages to the approach described herein in connection with mid-circuit remote entanglement generation. For example, it is possible to protect the neighboring ions in the m-type space during REG, as the m-type ions cannot absorb photons emitted from g-type ions. As a result, REG can be performed in the middle of a quantum circuit using REG ancilla ions without causing decoherence of nearby quantum data ions. Furthermore, in our approach, only a single species ion is used, so entangling gates between data and ancilla ions will typically be higher fidelity.

Advantages of Dual Spaces Over Dual Species

The advantages of dual spaces over dual species are described, at least partially, in connection with FIG. 1 . For example, using the dual-space approach, m-type qubits are protected from stray control or scattered light in entropic operations (e.g., sympathetic Doppler, EIT cooling, REG) in neighbors. The dual-space approach enables mid-circuit cooling, calibration, readout, REG. The use of one species means fewer lasers and optical paths, standard, efficient sympathetic cooling, more straightforward shuttling, chain reordering accomplished via HSS (dynamic reconfigurability of the chain with lasers), and RE distribution accomplished via HSS and not a mixed-species two-qubit (2q) gate.

Two Classes Of Features: Class I—Qubits Plus Coolant/Calibration Ions

The first class of features, CLASS I, is described in connection with FIG. 2 . In connection with CLASS I the following scheme can be performed (as illustrated in FIG. 2 ):

(1) Initialize: Separate qubits and coolant ions into g (e.g., S_(1/2) in ¹³³Ba⁺ and m (e.g., D_(5/2)) manifolds. Transfer only coolant ions to m manifold.

(2) Perform part of algorithm on g-type qubits.

(3) Mid-algorithm, flip-flop (HSS) all ions between g and m manifolds, with qubits and coolant ions in opposite manifolds at all times. The g-type has Raman, laser cooling, low-fidelity readout, pumping. The m-type has storage. Repeat 2-3 until the algorithm completes.

(4) Transfer qubits to o-type for high-fidelity readout.

The use of CLASS I enables: (1) Sympathetic cooling of any flavor with perfect mass-matching, coolant ion placement reconfigurable on a per-circuit basis without physical shuttling, and (2) mid-circuit calibration routines on coolant ions that have hyperfine qubit states identical to those of the qubits.

Two Classes Of Features: Class II—Qubits Plus Ancillas Plus Coolant Ions

The second class of features, CLASS II, is described in connection with FIG. 3 . In connection with CLASS II the following scheme can be performed (as illustrated in FIG. 3 ):

(1) Perform partial algorithm with data qubits and ancillas in g-type.

(2) Transfer only ancillas to g-type and data to m-type via HSS and hi-fidelity readout of ancillas.

(3) Move ancilla qubits back to qubit manifold and continue circuit.

(4) Sympathetic cooling/calibration can also be interspersed at any time (See Classes I and II).

CLASS II functions require more HSS than CLASS I, but both need ONLY local g-type Raman and global HSS, cooling, and readout.

The use of CLASS II enables: (1) Mid-circuit partial high-fi readout of quantum register without physical shuttling, and (2) mid-circuit REG without physical shuttling (not depicted).

Example—(a) Sympathetic Cooling/Calibration

An example of sympathetic cooling/calibration is described in connection with FIG. 4 . In connection with FIG. 4 the following scheme can be performed (which follows the diagrammatic flow in FIG. 4 from top to bottom):

(1) Initialize all to |0>_(g) via optical pumping (OP).

(2) Local g-type Raman of data to |1>_(g).

(3) Global HSS of |0>_(g)↔_(g).

(4) Algorithm via g-type 1 and 2-qubit Raman gates.

(5A) Global HSS of |0>_(g)↔|0>_(m); |1>_(m)(m-type).

(6Ai) Global sympathetic cooling in g-type space.

(6Aii) Calibration via local Raman and “low-fi” or low-fidelity readout on coolant: Ramsey, carrier Rabi (B-field, etc.), sideband Rabi (trap frequency).

(7A) Global HSS of |0_(g)↔|0>_(m); |1>_(g)↔|1>_(m).

Repeat 4-7.

Example—(A-Alternative) Sympathetic Cooling/Calibration

An example of an alternative sympathetic cooling/calibration requiring HSS beam with only m-type splitting is described in connection with FIG. 5 . In connection with FIG. 5 the following scheme can be performed (which follows the diagrammatic flow in FIG. 5 from top to bottom):

(1) Initialize all to |0>_(g) via OP.

(2) Local g-type Raman of data to |1>_(g).

(3) Global HSS of |0_(g)↔_(g)↔|0>_(m).

(4) Algorithm via g-type 1 and 2-qubit Raman gates.

(5A) Global HSS of |0>_(g)↔0>_(m) (o-type).

(6A) Local OR global g-type Raman of all ions; since global is OK, this could be u-wave driven.

(7A) Global HSS of |0>_(g)↔|1>_(m) (m-type).

(8Ai/ii) Global sympathetic cooling in g-type space/cal.

(9A) Reverse steps 7A-5A.

Example—(b) Ancilla Readout

An example of an ancilla readout is described in connection with FIG. 6 . In connection with FIG. 6 the following scheme can be performed (which follows the diagrammatic flow in FIG. 6 from top to bottom):

(1) Initialize all to |0>_(g) via OP.

(2) Local g-type Raman of data to |1>_(g).

(3) Global HSS of |0>_(g)↔|0>_(m).

(4) Algorithm via g-type 1 and 2-qubit Raman gates.

(5B) Global HSS of |1>_(g)↔|1_(m) (both qubits o-type).

(6B) Local g-type Raman of ancilla to |1>_(g).

(7B) Global HSS of |0>_(g)↔|0>_(m) (o-type ancilla, m-type data).

(8B) Readout only ancilla with global detection lasers and pump to |0>_(g).

(9B1) Global HSS of |1>_(m)↔|1>_(g).

(9B2) Local g-type Raman on ancilla conditioned on ancilla readout.

(10B) Global HSS of |0>_(m)↔|0>_(g)→5A.

Example—(c) Mid-Algorithm Calibration Via Ancilla

An example of a mid-algorithm calibration via ancilla is described in connection with FIG. 7 . In connection with FIG. 7 the following scheme can be performed (which follows the diagrammatic flow in FIG. 7 from top to bottom):

(1) Initialize all to |0>_(g) via OP.

(2) Local g-type Raman of data to |1>_(g).

(3) Global HSS of |0>_(g)↔|0>_(m).

(4C) Calibration via local Raman on ancilla: Ramsey, carrier Rabi (B-field, etc.), sideband Rabi (trap frequency).

(5B) Global HSS of |1>_(g)↔|>_(m).

(6B) Local g-type Raman of ancilla |1>_(g).

(7B) Global HSS of |0>_(g)↔|0>m (creates o-type ancilla).

(8B) Readout only ancilla with global detection lasers.

(9B1) Global HSS of |1>_(m)↔|1>_(g).

(9B2) Local g-type Raman on ancilla conditioned on ancilla readout.

(10B) Global HSS of |0>_(m)↔|0>_(g)→5A.

Example—(d) Reg and Distribution Via Ancilla

An example of a REG and distribution via ancilla is described in connection with FIGS. 8 and 9 . In connection with FIG. 8 the following scheme can be performed (which follows the diagrammatic flow in FIG. 8 from top to bottom):

(1) Initialize all to |0>_(g) via OP.

(2) Local g-type Raman of data to |1>_(g).

(3) Global HSS of |0>_(g)↔|0>_(m).

(4C) Calibration via local Raman on ancilla: Ramsey, carrier Rabi (B-field, etc.), sideband Rabi (trap frequency).

(5B) Global HSS of |1>_(g)↔1>_(m).

(6B) Local g-type Raman of ancilla |1>_(g).

(7B) Global HSS of |0>_(g)↔|0>_(m) (creates o-type ancilla).

(8B) Readout only ancilla with global detection laser.

(9D) REG attempts and sympathetic cooling interleaved.

In connection with FIG. 9 the scheme described above is continued (by following the diagrammatic flow in FIG. 9 from top to bottom):

Step (9D) is now shown at the top and was last step shown in FIG. 9 . (9D) REG attempts and sympathetic cooling interleaved.

(10D) Global HSS of |0>_(g)↔|0>_(m)

(11D) Local g-type Raman on REG ancilla.

(12Di) Global HSS of |1>_(g)↔|1>_(m)

(12Dii) Global HSS of |0>_(g).

(13D) Local g-type Raman on REG ancilla.

(14D) Global HSS of |0>_(g)↔|0>_(m)

(15D) Entanglement distribution in g-type using single species 2q gates.

Hilbert Space Shuttling (HSS)

In connection with HSS, questions may come up about how good the 1762-nm pulses are. Blatt/Home claim fidelities of 5e⁻⁵ in 40Ca⁺ (729 nm) and others have been able to do ˜4e⁻⁴ in ⁸⁸Sr⁺ (674 nm, GST). One aspect includes potentially using composite pulses to improve. Moreover, the 1762 pulse is likely to be better than 674, 729 pulses due to smaller Debye-Waller factors (DWs). But probably may want to use the global 1762 along radial direction to keep DWs low.

Another possible consideration relates to the 1762 pulse phase. The optical phase gets imprinted on the o-type but gets removed when converting back to g-type as long as laser is coherent over o-type dwell time. For the o-type, coherence times of 10-100 milliseconds (ms) are achievable.

For the m-type, only the phase difference between the |0>_(g)↔|0>_(m) and |1>_(g) ↔|1>_(m) beams matters. One approach is to derive both beams from same laser, minimize path length differences.

Another question that may come up is the AC Stark shifts from global 1762 pulses. For the g-type: Δ=10 GHz gives δ_(AC)˜25 Hz. For the m-type Δ=80 MHz gives δ_(AC)˜3 kHz. Only occurs for F=1 to F′=3 beam (F=0 to F′=3 is quadrupole forbidden). Can potentially use spin echo to cancel, or just keep track of the Zgate rotation

Yet another question that may come up is the number of 1762 tones/lasers that may be needed. The scheme described above needs independent 1762 tones separated by 10 GHz. An example of such implementation is described below. A modified version only requires 1762 tones separated by —80 MHz mid-circuit REG is given up. However, REG is a longer-term goal with other technical challenges to consider.

M-Type Raman Gates

Other aspects of the present disclosure may include implementing m-type Raman gates. M-type Raman gates may implement the same classes of features as in the g-type Raman scheme as described below. An example of m-type Raman gates is described in connection with FIG. 10 . Fundamentally higher-fidelity gates for ¹³³Ba⁺ with Raman laser at 532 nm. D_(5/2) only couples to P_(3/2) so it is possible to get 1/Δ Rabi rate even for Δ>>ω_(HFS). Wins the war against spontaneous emission (˜1/4²)→˜5x error reduction.

This approach is technically simpler, with straightforward CW Raman if desired. CW Raman also can be used for g-type Raman. Can use AOM instead of EOM to span qubit frequency.

In addition, circuit performance is largely insensitive to imperfect HSS. The need for HSS transfers during the computation is either reduced (Class II functions) or eliminated altogether (Class I functions), which significantly reduces the impact of imperfect HSS transfer on the computation fidelity.

Two Classes Of Features With M-type Raman: Class I—Qubits Plus Coolant/Calibration Ions

The first class of features with m-type Raman, CLASS I, is described in connection with FIG. 11 shown below. In connection with CLASS I the following scheme can be performed (as illustrated in FIG. 11 ):

(1) Initialize: Separate qubits and coolant ions into g (S_(1/2)) and m (D_(5/2)) manifolds with global HSS. Transfer only qubit ions to m manifold.

(2) Run circuit in m manifold (now has Raman) while interspersing cooling/calibration with ions in g manifold (has Raman, EIT cooling, readout, pumping). No HSS required during circuit/cooling/calibration.

(3) Transfer one qubit state to o-type for high-fidelity readout of qubits with global HSS.

The use of CLASS I enables (without HSS during circuit/cooling/calibration): (1) Sympathetic cooling of any flavor with perfect mass-matching, coolant ion placement reconfigurable on a per-circuit basis without physical shuttling, and (2) Mid-circuit calibration routines on coolant ions that have hyperfine qubit states identical to those of the qubits. The use of CLASS I requires only |0>_(g)↔|0>_(m) transitions for HSS, no m-type AC Stark shifts. Also, it requires only m-type Raman, not g-type.

Two Classes Of Features With M-Type Raman: Class II—Qubits Plus Ancillae Plus Coolant Ions

The second class of features with m-type Raman, CLASS II, is described in connection with FIG. 12 . In connection with CLASS II the following scheme can be performed (as illustrated in FIG. 12 ):

(1) Perform partial algorithm with data qubits and ancillas in m-type.

(2) Transfer only ancillas to o-type and data to m-type via HSS and hi-fi readout of ancillas.

(3) Move ancilla qubits back to qubit manifold and continue circuit.

(4) Sympathetic cooling/calibration can also be interspersed at any time (Class A is a subset of B).

As before, Class II functions require more HSS than Class I, but both need ONLY local m- and g-type Raman and global HSS, cooling, and readout.

The use of CLASS II enables: (1) Mid-circuit partial readout of quantum register without physical shuttling, and (2) mid-circuit REG without physical shuttling.

Scheme for Nulling HSS Laser Phase Noise by Driving Both HSS Transitions Simultaneously (Class I Functions)

One source of error in this approach can be phase noise in the laser used to drive the HSS transition. This noise is technical but intrinsic; it can be reduced by locking the laser phase to a suitably stable reference, but it cannot be completely eliminated. In particular, this laser phase noise might impart phase noise onto our qubits every time a swap of the ancilla and qubit ions between the g and m manifolds takes place. For example, by driving the |0>_(g) to |0>. HSS transition followed sequentially by the |1>_(g) to |1>_(m). transition (or vice versa), then any drift in the laser phase between the times of these two transitions is imprinted into a relative phase between |0>_(m) and |1>_(m), which enters into and degrades the fidelity of the calculation.

In other words, in performing the two HSS transitions sequentially, there is a brief storage of the qubit information in the optical qubit, when the qubit is divided between the g and m manifolds. During this time, any drift between the phases of the optical qubit and laser is imprinted on the qubit phase when the transfer is completed to the m manifold.

The techniques described herein can be used as a solution to the problem outlined above. The impact of laser phase noise on the qubit phase can be nulled by driving the |0>_(g) to |0>_(m) and |1>_(g) to |1>_(m) transitions simultaneously. The laser phase at the transition is common to both |0>_(m) and |1>_(m) and therefore does not introduce an erroneous phase into the calculation. In other words, the qubit information is at no time stored in the optical qubit, eliminating the opportunity for laser phase noise to be converted into qubit phase error.

If the laser phase noise is sufficiently large, it can cause imperfect transfer (i.e., the population in |0>_(g) is not fully transferred to |0>_(m)), but, as elucidated elsewhere, this scheme is sufficiently general so as to enable to use BB1 or other pulse sequences, which are designed to optimize transfer even in the presence of experimental imperfections like phase noise. Further, an error of imperfect transfer, unlike an error of laser phase being imprinted onto the qubit, can be easily detected, in which case it is possible to choose to either reject the calculation result if it is impacted by the error or accept the calculation result if it is not.

This solution is particularly useful for the Class I functions in the scheme that does not use m-state Raman, wherein it always drives the two HSS transitions together in the midst of the calculation (i.e., not during initialization and readout). Therefore, this technique can eliminate the impact of laser phase noise on the qubit phase for algorithms that use only Class I functions.

Scheme for Nulling HSS Laser Phase Noise by Performing an Echo Sequence (Class II Fuctions)

The technique of driving the |0>_(g) to |0>_(m) and |1>_(g) to |1>_(m) transitions simultaneously to prevent laser phase noise from being imprinted on the qubit only works when no other operations need to be performed in between these two transitions. This is not the case for Class II transitions. For example, for ancilla readout, one HSS transition (either |0>_(g) to |0>_(m) or |1>_(g) to |1>_(m)) is driven, then select out the ancilla ions to read out by applying a Raman pulse to those ions, and then drive the other HSS transition. Because the Raman transition inevitably has a finite duration, this sequence is susceptible to imprinting laser phase noise onto the qubit phase noise.

In other words, storing the qubit information in an optical qubit for a finite amount of time will be needed, creating the opportunity for laser phase noise to be converted into qubit phase error.

The techniques described herein can be used as a solution to the problem outlined above. For example, a technique called “spin echoing,” which is common in the NMR and quantum information communities, can be adapted for use with the scheme/architecture described herein. The basic concept is that the phase noise in the laser is transferred to the qubit when the qubit information is imprinted on the optical qubit during the Raman pulse. To “echo out” this phase error, an echo pulse is applied to the optical qubit after the Raman pulse by driving the |0>_(g) to |0>_(m) and |1>_(g) to |1>_(m) transitions simultaneously, which has the effect of flipping the optical qubit. This causes the laser phase noise to be imprinted on the optical qubit with the opposite sign. There is a wait after the echo pulse for a period of time equal to the duration of the Raman pulse before completing the transition to the m manifold, so the errors imprinted before and after the echo pulse cancel each other. If the rate at which the laser phase drifts is constant, then this cancellation can, in principle, be perfect. This echo technique therefore eliminates the OMG scheme's susceptibility to a laser phase that drifts at a constant rate, rendering the scheme instead susceptible only to the change in the rate at which the laser phase drifts over the course of the echo sequence.

An additional level of echoing can be applied to further reduce the OMG's scheme's susceptibility to laser phase noise over the course of performing a Class II function. In the case of mid-circuit ancilla readout, it is possible to echo the phase noise as described above while separating out the readout ancillae from the other qubits. Also need to reverse this operation after performing the readout in order to fold the readout ancillae back into the qubit register. By applying additional echo pulses to this second operation, it is possible to null the scheme's susceptibility not only to a laser phase that drifts at a constant rate but also to a laser phase that drifts at a rate that is itself changing at a constant rate over the course of the entire readout operation. Essentially, the sequence of HSS transitions is driven in such a way that if, for example, the optical qubit acquired phase noise with a positive sign followed by a negative sign for the initial ancillae-separation sequence, it acquires phase error with a negative sign followed by a positive sign for the ancillae-refolding sequence. Therefore, not only are the ancillae-separation and ancillae-refolding sequences themselves individually echoed to cancel phase error acquired within each sequence, but they are constructed in such a way that the phase noise acquired during the ancillae-refolding sequence cancels that acquired during the ancillae-separation sequence.

Schemes for High-fidelity HSS with a Global Beam

A problem that may arise is that for a laser beam of finite size globally addressing a long chain of ions from a direction that is not along the chain axis, there will be a limit to the fidelity of the pi-pulses due to inhomogeneity of the laser intensity over the chain. For example, a 32-ion chain with 3-micron ion spacing; global beam with 85-micron radius centered on chain, propagating normal to the chain axis gives pi-pulse fidelity of only 0.84 for the edge ions (1 and 32) if the laser intensity is chosen to drive a perfect pi-pulse on the center ion.

This disclosure provides two exemplary embodiments (e.g., exemplary schemes or aspects) that address the problem outlined above.

Scheme 1: Make the laser beam larger only in the direction along the chain axis (high-eccentricity elliptical beam). In the example above, make the beam radius 600 microns to get HSS error on outer ions to <1e-4. This will require 2.66X the time for the pi-pulse HSS transfer for the same laser power.

Scheme 2: Use a coherent quantum pulse sequence to minimize pi-pulse infidelity due to inhomogeneous laser intensity. One can use the BB1 sequence (e.g., http://cds.cern.ch/record/599468/files/0301019.pdf for a general outline of BB1) and the same (e.g., 85 micron) beam size (low-eccentricity elliptical beam). This can also achieve <1e-4 HSS errors but would take 1.9× longer than scheme.

Scheme 1 vs Scheme 2: Scheme 2 is better if it is undesirable to have a large beam for optical access reasons. Scheme 1 is better if one wants faster HSS transfer (for fixed laser power) or smaller required laser power (for fixed transfer time). Another advantage of Scheme 1 is that by not requiring BB1, pulse sequences can be used that are optimized for other kinds of transfer errors (e.g., frequency or phase noise).

Laser Scheme For High-Fidelity Dual-Space Operation

A laser scheme for high-fidelity dual-space operation is described in connection with FIG. 13 . This laser beam scheme (propagation direction/polarizations/B-field orientation) is very well suited to high-fidelity dual-space operation.

Individual Raman configuration minimizes deleterious AC Stark shifts when using pulsed lasers.

Global HSS is typically driven by an atomic quadrupole transition. The HSS beam orientations shown in FIG. 13 maximize the transition rate. For long-wavelength HSS laser (e.g., 1762 nm for Ba+ ions), the small Lamb-Dicke parameter results in small HSS transfer errors (<1e-4) even for significant thermal population of axial modes (nbar=50) in a 32-ion chain.

The polarization of the HSS beam depends on the specific states in the m-state manifold that are used during the HSS sequence. For clock states (i.e., those with mF=0), a polarization perpendicular to the magnetic field may be utilized to maximize the transition rate. However, there are other states (so-called “first-order field-insensitive” or “FOFI” states) that have nonzero values of mF but whose relative frequencies are insensitive to magnetic fields to first order. For these states, which have |m_(F)|=1, the transition rate is maximized by setting the polarization to lie in the plane defined by the direction of beam propagation and the magnetic field.

A quantum computer and/or QIP system based on the optical manipulation of trapped ions may be susceptible to undesirable effects stemming from the uncontrolled leakage of light onto the ions. Specifically, leakage of any light that couples to transitions from the qubit subspace to an optically excited state may cause the qubit state to decohere. Additionally, for any readout scheme that depends on shelving one qubit state to a metastable “shelving” state, leakage of any light that pumps out of the shelving state may degrade the readout fidelity.

AOMs may be used to modulate the intensity of the lasers that are applied to the ions as described above. In principle, when the AOMs are not driven (i.e., no acoustic waves are applied to the AOM), they should transmit no light to the ions. However, due to imperfect blockage of unwanted beams in the AOM system, scatter off of various optical surfaces, and/or some other causes, some amount of leakage light may be transmitted to the ion even when the AOMs are not driven. This leakage light may have either the same frequency as the light that is intentionally applied, or it might be detuned by one or two times the AOM drive tone, which might be several tens or a few hundred megahertz. This detuning, relative to a typical dipole-allowed transition width of γ˜20 MHz, may not be sufficiently large to provide adequate and/or additional protection against the unintentional driving of the optical transition.

In some implementations, FIG. 14 may illustrate a scheme for transitioning an ion from a first state to a second state, where an AOM provides one optical tone that is resonant with the optical transition. The illuminated ion may transition from a ground state 1402 to an excited state 1404. Consequently, any leakage light through the AOM may be either resonant or near-resonant with the transition.

FIG. 15 illustrates an example of a scheme for reducing leakage light by driving the EOM and the AOM in series according to aspects of the present disclosure. In an example, the EOM may be disposed in series with the AOM to enhance the suppression of leakage light. The configuration may improve the computation and/or readout fidelities of the quantum computer and/or the QIP system. The EOM may be driven with a frequency δ_(EOM) of approximately 1-10 GHz, which is larger than the linewidth of a typical atomic transition. This creates EOM sidebands that can be made to be similar in intensity to the optical carrier tone. If the laser is detuned so one of these sidebands, rather than the carrier, may be resonant with the optical transition, then the transition may be driven with an acceptable decrease in efficiency.

An advantage of this scheme includes that, unlike with an AOM, there are no spurious technical effects involving the EOM that would result in the weak transmission of sidebands once the electronic drive tone of the EOM is turned off. Therefore, when the drive tones of the AOM and EOM are both turned off, the optical leakage is detuned by δ_(EOM) from the optical transition. Because excitation of the transition is suppressed by a factor of approximately (δ_(EOM)/γ)², the detuning effect may provide an additional suppression of 50 dB or more relative to the AOM-only scheme. Aspects of the present disclosure further includes selecting the δ_(EOM) such that the optical carrier and the other sideband are not spectrally close to other optical transitions.

If multiple transitions are driven, then it may possible to apply multiple corresponding tones to the EOM so that each transition is addressed by a separate sideband. Alternatively, a second EOM can be used in series to generate the required optical tones.

In the example shown in FIG. 15 , the AOM alone may produce a first optical tone 1510 (the carrier tone). As the EOM is placed in series with the AOM, the driving of the EOM may cause two additional sidebands, creating a second optical tone 1512 and a third optical tone 1514. Aspects of the present disclosure may include aligning the third optical tone 1514 to the resonant frequency of the transition from a ground state 1502 to an excited state 1504. The carrier (configured to drive the first optical tone 1510) may be separated (in frequency) from the sideband (driving the third transition) by δ_(EOM). As such, when the AOM and/or the EOM are disabled (not driven), any leakage light may be closer in frequency to the carrier rather than the sideband, reducing the effects of the leakage light on the states of the QIP system ions.

FIG. 16 illustrates an example of an illumination system 1600 according to aspects of the present disclosure. The illumination system 1600 may include a light source 1602 configured to emit an optical beam 1604 toward a modulator 1610. The modulator 1610 may include an acousto-optic modulator (AOM) 1612 and/or an electro-optic modulator (EOM) 1614. In some aspects, the AOM 1612 may be disposed in series with the EOM 1614. The AOM 1612 may be disposed between the light source 1602 and the EOM 1614. In other aspects, the EOM 1614 may be disposed between the light source 1602 and the AOM 1612.

In some aspects, the illumination system 1600 may be configured to emit an output beam 1616 toward an ion chain 1650. The ion chain 1650 may include one or more DSSS trapped ions. The output beam 1616 may be a global 1762 nm optical beam and/or an individual Raman beam.

In some aspects, the AOM 1612 and/or the EOM 1614 may individually or collectively modulate a frequency, wavelength, phase, and/or amplitude of the optical beam 1604 to generate the output beam 1616. For example, the AOM 1612 may modulate the amplitude of the optical beam 1604 and the EOM 1614 may modulate the frequency of the optical beam 1604. In other examples, the EOM 1614 may modulate the optical beam 1604 without the AOM 1612.

FIG. 17 is a block diagram that illustrates an example of a QIP system 1700 in accordance with aspects of this disclosure in which the techniques described above for a dual-space, single species trapped-ion architecture can be implemented. The QIP system 1700 may also be referred to as a quantum computing system, a computer device, a trapped ion system, or the like.

The QIP system 1700 can include a source 1760 that provides atomic species (e.g., a plume or flux of neutral atoms) to a chamber 1750 having an ion trap 1770 that traps the atomic species once ionized (e.g., photoionized). The ion trap 1770 may be part of a processor or processing portion of the QIP system 1700. The source 1760 may be implemented separate from the chamber 1750.

The imaging system 1730 can include a high-resolution imager (e.g., CCD camera) for monitoring the atomic ions while they are being provided to the ion trap or after they have been provided to the ion trap 1770. In an aspect, the imaging system 1730 can be implemented separate from the optical and trap controller 1720, however, the use of fluorescence to detect, identify, and label atomic ions using image processing algorithms may need to be coordinated with the optical and trap controller 1720.

The QIP system 1700 may also include an algorithms component 1710 that may operate with other parts of the QIP system 1700 (not shown) to perform quantum algorithms or quantum operations, including a stack or sequence of combinations of single qubit operations and/or multi-qubit operations (e.g., two-qubit operations) as well as extended quantum computations. As such, the algorithms component 1710 may provide instructions to various components of the QIP system 1700 (e.g., to the optical and trap controller 1720) to enable the implementation of the quantum algorithms or quantum operations.

Referring now to FIG. 18 , illustrated is an example computer system or device 1800 in accordance with aspects of the disclosure. The computer device 1800 can represent a single computing device, multiple computing devices, or a distributed computing system, for example. The computer device 1800 may be configured as a quantum computer (e.g., a QIP system), a classical computer, or a combination of quantum and classical computing functions. For example, the computer device 1800 may be used to process information using quantum algorithms based on trapped ion technology and may therefore implement the dual-space, single species architecture described herein. A generic example of the computer device 1800 as a QIP system is illustrated in the QIP system 1700 shown in FIG. 17 .

In one example, the computer device 1800 may include a processor 1810 for carrying out processing functions associated with one or more of the features described herein. The processor 1810 may include a single or multiple set of processors or multi-core processors. Moreover, the processor 1810 may be implemented as an integrated processing system and/or a distributed processing system. The processor 1810 may include a central processing unit (CPU), a quantum processing unit (QPU), a graphics processing unit (GPU), or combination of those types of processors. In one aspect, the processor 1810 may refer to a general processor of the computer device 1800, which may also include additional processors 1810 to perform more specific functions such as functions for individual beam control.

In an example, the computer device 1800 may include a memory 1820 for storing instructions executable by the processor 1810 for carrying out the functions described herein. In an implementation, for example, the memory 1820 may correspond to a computer-readable storage medium that stores code or instructions to perform one or more of the functions or operations described herein. Just like the processor 1810, the memory 1820 may refer to a general memory of the computer device 1800, which may also include additional memories 1820 to store instructions and/or data for more specific functions such as instructions and/or data for individual beam control.

Further, the computer device 1800 may include a communications component 1830 that provides for establishing and maintaining communications with one or more parties utilizing hardware, software, and services as described herein. The communications component 1830 may carry communications between components on the computer device 1800, as well as between the computer device 1800 and external devices, such as devices located across a communications network and/or devices serially or locally connected to computer device 1800. For example, the communications component 1830 may include one or more buses, and may further include transmit chain components and receive chain components associated with a transmitter and receiver, respectively, operable for interfacing with external devices.

Additionally, the computer device 1800 may include a data store 1840, which can be any suitable combination of hardware and/or software, which provides for mass storage of information, databases, and programs employed in connection with implementations described herein. For example, the data store 1840 may be a data repository for operating system 1860 (e.g., classical OS, or quantum OS). In one implementation, the data store 1840 may include the memory 1820.

The computer device 1800 may also include a user interface component 1850 operable to receive inputs from a user of the computer device 1800 and further operable to generate outputs for presentation to the user or to provide to a different system (directly or indirectly). The user interface component 1850 may include one or more input devices, including but not limited to a keyboard, a number pad, a mouse, a touch-sensitive display, a digitizer, a navigation key, a function key, a microphone, a voice recognition component, any other mechanism capable of receiving an input from a user, or any combination thereof. Further, the user interface component 1850 may include one or more output devices, including but not limited to a display, a speaker, a haptic feedback mechanism, a printer, any other mechanism capable of presenting an output to a user, or any combination thereof.

In an implementation, the user interface component 1850 may transmit and/or receive messages corresponding to the operation of the operating system 1860. In addition, the processor 1810 may execute the operating system 1860 and/or applications or programs, and the memory 1820 or the data store 1840 may store them.

When the computer device 1800 is implemented as part of a cloud-based infrastructure solution, the user interface component 1850 may be used to allow a user of the cloud-based infrastructure solution to remotely interact with the computer device 1800.

FIG. 19 illustrates an example of a method 1900 for reducing leakage light. The method 1900 may be performed by the illumination system 1600, the AOM 1612, and/or the EOM 1614.

At block 1905, the method 1900 may apply an optical beam. For example, the illumination system 1600 and/or the light source 1602 may apply the optical beam 1604.

At block 1910, the method 1900 may modulate one or more of an amplitude, a phase, or a frequency of the optical beam via an acousto-optic modulator (AOM). For example, the illumination system 1600 and/or the AOM 1612 may modulate one or more of an amplitude, a phase, or a frequency of the optical beam 1604.

At block 1915, the method 1900 may apply a sideband signal to an electro-optic modulator (EOM) to transform the optical beam to a carrier beam and at least two sideband beams. For example, the illumination system 1600 and/or the EOM 1614 may apply a sideband signal to a channel of the EOM to transform the optical beam to a carrier beam and at least two sideband beams.

At block 1920, the method 1900 may provide one of the at least two sideband beams to one or more DSSS trapped ions of the QIP system to transition the one or more DSSS trapped ions from a first state to a second state. For example, the illumination system 1600 may provide the output beam 1616 to the ion chain 1650.

Aspects of the present disclosure include methods and systems for modulating light sources including applying an optical beam, modulating one or more of an amplitude, a phase, or a frequency of the optical beam via an acousto-optic modulator (AOM), applying a sideband signal to a channel of an electro-optic modulator (EOM) to transform the optical beam to a carrier beam and at least two sideband beams, and providing one of the at least two sideband beams to one or more dual-space, single-species (DSSS) trapped ions of the QIP system to transition the one or more DSSS trapped ions from a first state to a second state.

Aspects of the present disclosure include the methods and/or systems above, wherein a first frequency of the carrier beam is spaced at least one gigahertz from a second frequency of the one of the at least two sideband beams.

Aspects of the present disclosure include any of the methods and/or systems above, further including deactivating the channel of the EOM when not addressing the one or more DSSS trapped ions.

Aspects of the present disclosure include any of the methods and/or systems above, further including applying a plurality of additional signals to a plurality of additional channels of the EOM to generate a plurality of additional sideband beams and providing the plurality of sideband beams to a plurality of additional DSSS trapped ions of the QIP system.

Aspects of the present disclosure include a method and/or a system for applying a global optical beam to a plurality of dual-space, single-species (DSSS) trapped ions, and applying at least one Raman beam of a plurality of Raman beams to a DSSS trapped ion of the plurality of DSSS trapped ions to transition a qubit associated with the DSSS trapped ion from a ground state, a metastable state, or an optical state to a different state.

Aspects of the present disclosure include any of the method and/or system above, wherein applying the global optical beam comprises applying a coherent quantum pulse sequence.

Aspects of the present disclosure include any of the method and/or system above, wherein applying the global optical beam comprises applying a single laser beam having an eccentricity in a direction along the plurality of DSSS trapped ions such that the single laser beam covers the plurality of DSSS trapped ions.

Aspects of the present disclosure include any of the method and/or system above, wherein applying the global optical beam comprises applying the global optical beam at a first 45-degree angle with respect to the plurality of DSSS trapped ions and a second 45-degree angle with respect to a magnetic field.

Aspects of the present disclosure include any of the method and/or system above, further comprising adjusting a frequency of the at least one Raman beam of the plurality of Raman beams using an electro-optic modulator (EOM) or an acousto-optic modulator (AOM) disposed in series with an EOM.

Aspects of the present disclosure include any of the method and/or system above, further comprising applying a cooling Raman beam of the plurality of Raman beams to at least a cooling ion of the plurality of DSSS trapped ions to transition the cooling ion from a first state to a second state that is higher than the first state.

Aspects of the present disclosure include any of the method and/or system above, further comprising reading an ancilla ion of the plurality of DSSS trapped ions associated with the DSSS trapped ion during a computation of the qubit.

Aspects of the present disclosure include any of the method and/or system above, further comprising calibrating the DSSS trapped ion based on the reading of the ancilla ion during the computation of the qubit.

Aspects of the present disclosure include any of the method and/or system above, further comprising performing remote entanglement generation between the plurality of DSSS trapped ions and one or more remote DSSS trapped ions.

The previous description of the disclosure is provided to enable a person skilled in the art to make or use the disclosure. Various modifications to the disclosure will be readily apparent to those skilled in the art, and the common principles defined herein may be applied to other variations without departing from the spirit or scope of the disclosure. Furthermore, although elements of the described aspects may be described or claimed in the singular, the plural is contemplated unless limitation to the singular is explicitly stated. Additionally, all or a portion of any aspect may be utilized with all or a portion of any other aspect, unless stated otherwise. Thus, the disclosure is not to be limited to the examples and designs described herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein. 

What is claimed is:
 1. A method of operating a quantum information processing (QIP) system, comprising: applying an optical beam; modulating one or more of an amplitude, a phase, or a frequency of the optical beam via an acousto-optic modulator (AOM); applying a sideband signal to a channel of an electro-optic modulator (EOM) to transform the optical beam to a carrier beam and at least two sideband beams; and providing one of the at least two sideband beams to one or more dual-space, single-species (DSSS) trapped ions of the QIP system to transition the one or more DSSS trapped ions from a first state to a second state.
 2. The method of claim 1, wherein a first frequency of the carrier beam is spaced at least one gigahertz from a second frequency of the one of the at least two sideband beams.
 3. The method of claim 1, further comprising: deactivating the channel of the EOM when not addressing the one or more DSSS trapped ions.
 4. The method of claim 1, further comprising: applying a plurality of additional signals to a plurality of additional channels of the EOM to generate a plurality of additional sideband beams; and providing the plurality of sideband beams to a plurality of additional DSSS trapped ions of the QIP system.
 5. A quantum information processing (QIP) system, comprising: a light source configured to provide an optical beam to an electro-optic modulator (EOM) and an acousto-optic modulator (AOM) disposed in series with the EOM; the AOM configured to modulate one or more of an amplitude, a phase, or a frequency of the optical beam; and the EOM configured to: receive a sideband signal via a channel of the EOM, and transform the optical beam to a carrier beam and at least two sideband beams; wherein the light source is further configured to provide one of the at least two sideband beams to one or more dual-space, single-species (DSSS) trapped ions of the QIP system to transition the one or more DSSS trapped ions from a first state to a second state.
 6. The QIP system of claim 5, wherein a first frequency of the carrier beam is spaced at least one gigahertz from a second frequency of the one of the at least two sideband beams.
 7. The QIP system of claim 5, wherein the EOM is further configured to deactivate the channel of the EOM when not addressing the one or more DSSS trapped ions.
 8. The QIP system of claim 5, further comprising: applying a plurality of additional signals to a plurality of additional channels of the EOM to generate a plurality of additional sideband beams; and providing the plurality of sideband beams to a plurality of additional DSSS trapped ions of the QIP system.
 9. A non-transitory computer readable medium having instructions stored therein that, when executed by one or more processors of a quantum information processing (QIP) system, cause the one or more processors to: cause a light source to apply an optical beam; cause an acousto-optic modulator (AOM) to modulate one or more of an amplitude, a phase, or a frequency of the optical beam; apply a sideband signal to a channel of an electro-optic modulator (EOM) to transform the optical beam to a carrier beam and at least two sideband beams; and provide one of the at least two sideband beams to one or more dual-space, single-species (DSSS) trapped ions of the QIP system to transition the one or more DSSS trapped ions from a first state to a second state.
 10. The non-transitory computer readable medium of claim 9, wherein a first frequency of the carrier beam is spaced at least one gigahertz from a second frequency of the one of the at least two sideband beams.
 11. The non-transitory computer readable medium of claim 9, further comprising instructions for: causing the EOM to deactivate the channel when not addressing the one or more DSSS trapped ions.
 12. The non-transitory computer readable medium of claim 9, further comprising instructions for: applying a plurality of additional signals to a plurality of additional channels of the EOM to generate a plurality of additional sideband beams; and providing the plurality of sideband beams to a plurality of additional DSSS trapped ions of the QIP system. 